Self-referential Paradoxum In Knowledge Representation

What do these two pictures share in common?

They represent structure and dynamics (continuity, connectedness, and boundary [of which topology is only ONE example!]) distributed over multiple and partial dimension. That’s why they interest me and are of use. I use them to represent knowledge, because they are found in our knowledge!
 
They always have a concealed twist (internal dynamics). You need to leave our 3D rational domain to capture their meaning though. I’ve studied these shapes for a long time now and use them in my work. Break the figures or logic apart and notice how you can tuck the parts into a cloud shape (ambiguity) and make the systems work.

Aug 29, 2014 | Categories: Holors, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Logic, Mathematics, Mathesis Universalis, Metaphysics, Philosophy, Physics, Science, Semantics, Understanding, Wisdom | Tags: FractalLogic, insight, knowledge, learning, Logic, Metalogic, understanding, wisdom | Leave a comment